Can Computational Measures of Task Performance Predict Psychiatric Symptoms and Changes in Symptom Severity Across Time
CABxtime
Leveraging Computationally Derived Measures of Individual Differences in Learning and Decision-making to Predict Psychiatric Diagnosis, Symptoms and Changes in Symptom Severity Across Time
1 other identifier
interventional
1,100
1 country
2
Brief Summary
This study investigates the computational mechanisms associated with psychiatric disease dimensions. The study will characterize the relationship between computational parameter estimates of task performance and psychiatric symptoms and diagnoses with a longitudinal approach over a 12 month interval. Participants will be healthy participants recruited through Prolific an on-line crowdsourcing service, and psychiatric patients and healthy participants recruited via UCLA Psychiatry Clinics and UCLA's STAND Program
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2025
Longer than P75 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 18, 2024
CompletedFirst Posted
Study publicly available on registry
November 26, 2024
CompletedStudy Start
First participant enrolled
January 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2029
November 26, 2024
November 1, 2024
5 years
November 18, 2024
November 21, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Changes in DASS depression scale scores
Changes in computational parameter estimates related to gain/loss learning, reward/effort tradeoff and reward/predation risk tradeoffs will correlate with changes in DASS depression scale scores across time.
12 months
Changes in DASS anxiety scale scores
Changes in computational parameter estimates related to novelty driven exploration and reward/predation risk tradeoffs will be correlated with changes in DASS anxiety scale scores
12 months
Changes in OCI-R scores
Changes in computational parameter estimates related to the balance between model-based vs model-free reinforcement-learning will be correlated with changes in OCI-R symptoms across time.
12 months
OCI-R scores
Computational parameter estimates related to the balance between model-based vs model-free reinforcement-learning will be correlated with OCI-R scores.
12 months
DASS depression scale scores
Computational parameter estimates related to gain/loss learning, reward/effort tradeoff and reward/predation risk tradeoffs will correlate with DASS depression scale scores.
12 months
DASS anxiety scale scores
Computational parameter estimates related to novelty driven exploration and reward/predation risk tradeoffs will be correlated with DASS anxiety scale scores
12 months
Study Arms (1)
Behavioral task battery
OTHERInterventions
Measures of performance on behavioral tasks
Eligibility Criteria
You may qualify if:
- Age range of 18 to 65.
- Not currently having a psychiatric diagnosis determined after psychiatric evaluation by Drs. Tadayon-Nejad and Wei (both are board certified psychiatrists).
- Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks.
- Ability to give informed consent.
You may not qualify if:
- Prior history and or current diagnosis of neurological disease.
- Age range of 18 to 65.
- Psychiatric diagnosis of any type of depressive disorders, any type of anxiety disorders or obsessive-compulsive disorder.
- Primary or comorbid bipolar disorders are allowed but only if not in the acute manic phase.
- Comorbidity with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are allowed.
- Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks.
- Ability to give informed consent.
- Prior history and or current diagnosis of neurological disease.
- History or current diagnosis of psychotic disorders.
- Currently active substance use disorder.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
UCLA Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles
Los Angeles, California, 90095, United States
California Insitute of Technology
Pasadena, California, 91125, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John P O'Doherty, D.Phil
California Institute of Technology
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Fletcher Jones Professor of Decision Neuroscience
Study Record Dates
First Submitted
November 18, 2024
First Posted
November 26, 2024
Study Start
January 1, 2025
Primary Completion (Estimated)
December 31, 2029
Study Completion (Estimated)
December 31, 2029
Last Updated
November 26, 2024
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- ANALYTIC CODE
- Access Criteria
- Data will be provided to the NIH NDA database as requested per the grant conditions,
Individual task performance data will be provided (trial data) and individual questionnaire scores will be available.